Web Site: SNAP Lab
Ph.D., Johns Hopkins University, 2010
Psych 503: Perception
Psych 933: Seminar in Neuroscience
The Sensory Neuroscience, Attention, and Perception Laboratory (SNAP Lab) aims to understand how our momentary behavioral goals are translated into neural signals that determine which sensory items are selected and which are ignored. More generally, how do attention brain mechanisms guide our behavior? In answering this question, we investigate both how perceptual objects are assembled by sensory systems, and how attention selects these objects for later processing by memory & motor systems. We adopt a systems-level neuroscience approach in which multimodal brain imaging techniques are integrated with psychophysical methods, computational modeling, and clinical populations. However, all work conducted in the SNAP Lab is firmly grounded in behavioral effects. Functional brain imaging methods used in the lab combine both correlative (fMRI) and interference (TMS, neuropsychology) methods to identify brain networks and test the causality of individual nodes, respectively. We also examine the structural connectivity of these brain networks using Diffusion Spectrum Imaging (DSI).
Examples of some of our current research projects include:
- Functional and structural connectivity between attention mechanisms in the parietal lobe and visual cortex in the occipital lobe, using TMS, fMRI, and DSI.
- Behavioral and neural investigations of object-based selective attention.
- Determining how Gestalt perceptual grouping principles give rise to visual object perception.
- Exploring how auditory scene analysis cues affect auditory object perception.
- Examining the role of attention in advertising.
I am currently interested in taking new Ph.D. students and postdocs. And we are looking for exceptional undergraduate RAs interested in learning about cognitive psychology/neuroscience. Please feel free to email me or visit our web site for further details.
Greenberg, A. S., Friedman-Hill, S., Pessoa, L., & Ungerleider, L. G. Neural Correlates of Distracter Filtering During Covert Attention in Humans.
Gmeindl, L., Chiu, Y., Esterman, M. S., Greenberg, A. S., Courtney, S. M., & Yantis, S. Tracking the Will to Attend: Cortical Activity Indexes Self-Generated, Voluntary Shifts of Attention.
Randall, R., & Greenberg, A. S. (2016). Principal Component Analysis of the Perception of Musicality in Pitch Sequences.
Uyar, F., Shomstein, S., Greenberg, A. S., & Behrmann, M. (2016). Retinotopic Information Interacts with Category Selectivity in Human Ventral Cortex. Neuropsychologia.
Senturk, G., Greenberg, A. S., & Liu, T. (2016). Both Exogenously and Endogenously Driven Object-Based Attention Affect Saccade Latency. Attention, Perception, and Psychophysics.
Greenberg, A. S., Rosen, M., Cutrone, E., & Behrmann, M. (2015). The effects of visual search efficiency on object-based attention. Attention, perception & psychophysics
Greenberg, A. S. (2012). The Role of Visual Attention in Internet Advertising. Journal of Advertising Research, 52(4), 400-404.
Greenberg, A. S., Verstynen, T., Chiu, Y. C., Yantis, S., Schneider, W., & Behrmann, M. (2012). Visuotopic cortical connectivity underlying attention revealed with white-matter tractography. The Journal of neuroscience : the official journal of the Society for Neuroscience
Phillips, J. S., Greenberg, A. S., Pyles, J. A., Pathak, S. K., Behrmann, M., Schneider, W., & Tarr, M. J. (2012). Co-analysis of brain structure and function using fMRI and diffusion-weighted imaging. Journal of visualized experiments : JoVE
Greenberg, A. S., Esterman, M., Wilson, D., Serences, J. T., & Yantis, S. (2010). Control of spatial and feature-based attention in frontoparietal cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience
Shelton, A. L., & Greenberg, A. S. (2009). Statistical Tests and Inferences in Functional Neuroimaging. Squire, L. R. (Ed.). Encyclopedia of Neuroscience, 9, 393-400. Oxford: Academic Press.
Qiu, A., Rosenau, B. J., Greenberg, A. S., Hurdal, M. K., Barta, P., Yantis, S., & Miller, M. I. (2006). Estimating linear cortical magnification in human primary visual cortex via dynamic programming. NeuroImage